Literature DB >> 20507866

Symptom clusters: myth or reality?

Aynur Aktas1, Declan Walsh, Lisa Rybicki.   

Abstract

Clinical experience suggests that many symptoms occur together. In this paper, we examine the rationale and evidence base for symptom clusters in different medical fields, particularly the cluster phenomenon in cancer. Cancer symptom clusters are a reality. Various symptoms that cluster clinically have also been verified statistically. Specific clusters such as nausea-vomiting, anxiety-depression, and cough-dyspnea are evident on both clinical observation and in research investigation. Fatigue-pain and fatigue-insomnia-pain have also been demonstrated statistically as clusters. Another proposed cluster 'depression-fatigue-pain' seems relevant to clinical practice. Other clusters may serve only as theoretical models that illustrate possible common biological etiologies in cancer; they need to be validated in future research. Analysis of the literature is complicated by considerable inconsistencies across studies. Discrepancies between clinically defined and statistically obtained clusters raise important questions. We must consider the analytical techniques used, and how methodology might influence cluster occurrence and composition. Further research is warranted to establish universally accepted statistical methods and assessment tools for symptom cluster research.

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Year:  2010        PMID: 20507866     DOI: 10.1177/0269216310367842

Source DB:  PubMed          Journal:  Palliat Med        ISSN: 0269-2163            Impact factor:   4.762


  44 in total

1.  Symptom clusters and prognosis in advanced cancer.

Authors:  Aynur Aktas; Declan Walsh; Lisa Rybicki
Journal:  Support Care Cancer       Date:  2012-02-24       Impact factor: 3.603

2.  [The importance of adequately evaluating pain].

Authors:  Alberto Alonso Babarro
Journal:  Aten Primaria       Date:  2011-09-29       Impact factor: 1.137

3.  Treatment-related side effects and quality of life in cancer patients.

Authors:  Eva Mazzotti; Gian Carlo Antonini Cappellini; Stefania Buconovo; Roberto Morese; Alessandro Scoppola; Claudia Sebastiani; Paolo Marchetti
Journal:  Support Care Cancer       Date:  2012-01-21       Impact factor: 3.603

4.  Comparing two approaches for studying symptom clusters: factor analysis and structural equation modeling.

Authors:  Karin Olson; Leslie Hayduk; Jasmine Thomas
Journal:  Support Care Cancer       Date:  2013-09-08       Impact factor: 3.603

Review 5.  Advancing Symptom Science Through Symptom Cluster Research: Expert Panel Proceedings and Recommendations.

Authors:  Christine Miaskowski; Andrea Barsevick; Ann Berger; Rocco Casagrande; Patricia A Grady; Paul Jacobsen; Jean Kutner; Donald Patrick; Lani Zimmerman; Canhua Xiao; Martha Matocha; Sue Marden
Journal:  J Natl Cancer Inst       Date:  2017-01-24       Impact factor: 13.506

Review 6.  Symptom Cluster Research With Biomarkers and Genetics Using Latent Class Analysis.

Authors:  Samantha Conley
Journal:  West J Nurs Res       Date:  2016-12-05       Impact factor: 1.967

7.  The SPADE Symptom Cluster in Primary Care Patients With Chronic Pain.

Authors:  Lorie L Davis; Kurt Kroenke; Patrick Monahan; Jacob Kean; Timothy E Stump
Journal:  Clin J Pain       Date:  2016-05       Impact factor: 3.442

8.  Current research and future directions in pattern identification: Results of an international symposium.

Authors:  Myeong Soo Lee; Ju Ah Lee; Terje Alraek; Zhao-Xiang Bian; Stephen Birch; Hirozo Goto; Jeeyoun Jung; Shung-Te Kao; Sang-Kwan Moon; Bongki Park; Kyung-Mo Park; Sooseong You; Kyung-Jin Yun; Chris Zaslawski
Journal:  Chin J Integr Med       Date:  2014-06-18       Impact factor: 1.978

9.  Making the case for the study of symptoms in family practice.

Authors:  Tom Freeman; Moira Stewart
Journal:  Can Fam Physician       Date:  2020-03       Impact factor: 3.275

10.  Symptom cluster, healthcare use and mortality in patients with severe chronic obstructive pulmonary disease.

Authors:  Soo Kyung Park; Janet L Larson
Journal:  J Clin Nurs       Date:  2014-01-27       Impact factor: 3.036

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